Essays about: "Domain Transfer"
Showing result 16 - 20 of 155 essays containing the words Domain Transfer.
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16. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. READ MORE
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17. Development of HVAC simulations for truck cabins using OpenFOAM
University essay from Linköpings universitet/Mekanisk värmeteori och strömningsläraAbstract : In regions with cold climates, a layer of ice often forms on vehicle windshields, whichobstructs the driver’s view. To address this issue, vehicles are equipped with internal defrosters. However, at Scania, the evaluation of defroster design performancecurrently relies on time-consuming and costly physical testing. READ MORE
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18. Data Generation in Metal Recycling Using Unconditional Diffusion Models
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Combitech AB was interested in how to automate the process of annotating aluminum scrap when it was adjacent to other metals. This was to ultimately create an annotated dataset that could be utilized for training a segmentation model. The idea was to make use of generative models to generate samples of general scrap metals. READ MORE
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19. AI and Business Decision Making : Striking a Balance between Efficiency and Responsibility
University essay from Karlstads universitet/Handelshögskolan (from 2013)Abstract : Numerous publications have expressed concerns regarding the use of artificial intelligence (AI) in business decision-making. These concerns encompass bias, competence, the absence of an AI development strategy, and the limited attention given to strategic and legal issues and explainability of AI decisions. READ MORE
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20. Causal Reinforcement Learning for Bandits with Unobserved Confounders
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Reinforcement Learning (RL) has been recognized as a valuable tool in various fields. However, its application is limited by its reliance on extensive data through a trial-and-error approach and challenges in generalizing learned policies. READ MORE